Triple

T18198163
Position Surface form Disambiguated ID Type / Status
Subject Kingdom of Busoga E435713 entity
Predicate district P2709 FINISHED
Object Kamuli District NE NERFINISHED

How this triple was built (2 steps)

Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.

NER Named-entity recognition gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: Kamuli District | Statement: [Kingdom of Busoga, district, Kamuli District]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Kamuli District
Context triple: [Kingdom of Busoga, district, Kamuli District]
  • A. Kamuli District chosen
    Kamuli District is an administrative district in eastern Uganda known for its predominantly rural communities and agriculture-based economy.
  • B. Nzega District
    Nzega District is an administrative district in central Tanzania known for its rural communities and agriculture, located within the country’s Tabora Region.
  • C. Monywa District
    Monywa District is an administrative district in Myanmar’s Sagaing Region, centered around the city of Monywa and known for its agricultural economy and regional trade.
  • D. Sibu District
    Sibu District is an administrative district in central Sarawak, Malaysia, centered on the town of Sibu and known as a commercial and transportation hub along the Rajang River.
  • E. Magu District
    Magu District is an administrative district in northern Tanzania, located within the Mwanza Region along the southern shores of Lake Victoria.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 batches)

The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.

Step Stage Batch ID Status When
creating Elicitation batch_69d8b90dba6481908e119eb9aa4ca0cb completed April 10, 2026, 8:47 a.m.
NER Named-entity recognition batch_69e4e0d47f1c819082eec59492497797 completed April 19, 2026, 2:04 p.m.
Created at: April 10, 2026, 10:31 a.m.